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An automated image analysis framework for segmentation and division plane detection of single live Staphylococcus aureus cells which can operate at millisecond sampling time scales using bespoke Slimfield microscopy

Abstract:

Staphylococcus aureus is an important pathogen, giving rise to antimicrobial resistance in cell strains such as Methicillin Resistant S. aureus (MRSA). Here we report an image analysis framework for automated detection and image segmentation of cells in S. aureus cell clusters, and explicit identification of their cell division planes.Weuse a new combination of several existing analytical tools of image analysis to detect cellular and subcellular morphological features relevant to cell divisi...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Files:
Publisher copy:
10.1088/1478-3975/13/5/055002

Authors


Wollman, AJM More by this author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Physics; Condensed Matter Physics
More by this author
ORCID:
0000-0002-1715-1249
White Rose Consortium More from this funder
Biological Physical Sciences Institute More from this funder
University of York More from this funder
Publisher:
Institute of Physics Publisher's website
Journal:
Physical Biology Journal website
Volume:
13
Issue:
5
Pages:
055002
Publication date:
2016-10-17
Acceptance date:
2016-09-07
DOI:
EISSN:
1478-3975
ISSN:
1478-3967
Pubs id:
pubs:821226
URN:
uri:c962e580-e0d3-4729-b52a-254f1409a41b
UUID:
uuid:c962e580-e0d3-4729-b52a-254f1409a41b
Local pid:
pubs:821226

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